patch method
Update Notebook Runtime configuration.
request
- The metadata request object.
Request parameters:
name
- Output only. The resource name of the runtime. Format:
projects/{project}/locations/{location}/runtimes/{runtimeId}
Value must have pattern
^projects/\[^/\]+/locations/\[^/\]+/runtimes/\[^/\]+$
.
requestId
- Idempotent request UUID.
updateMask
- Required. Specifies the path, relative to Runtime
, of the
field to update. For example, to change the software configuration
kernels, the update_mask
parameter would be specified as
software_config.kernels
, and the PATCH
request body would specify the
new value, as follows: { "software_config":{ "kernels": [{ 'repository':
'gcr.io/deeplearning-platform-release/pytorch-gpu', 'tag': 'latest' }], }
} Currently, only the following fields can be updated: -
software_config.kernels
- software_config.post_startup_script
-
software_config.custom_gpu_driver_path
- software_config.idle_shutdown
software_config.idle_shutdown_timeout
-software_config.disable_terminal
-labels
$fields
- Selector specifying which fields to include in a partial
response.
Completes with a Operation.
Completes with a commons.ApiRequestError if the API endpoint returned an error.
If the used http.Client
completes with an error when making a REST call,
this method will complete with the same error.
Implementation
async.Future<Operation> patch(
Runtime request,
core.String name, {
core.String? requestId,
core.String? updateMask,
core.String? $fields,
}) async {
final body_ = convert.json.encode(request);
final queryParams_ = <core.String, core.List<core.String>>{
if (requestId != null) 'requestId': [requestId],
if (updateMask != null) 'updateMask': [updateMask],
if ($fields != null) 'fields': [$fields],
};
final url_ = 'v1/' + core.Uri.encodeFull('$name');
final response_ = await _requester.request(
url_,
'PATCH',
body: body_,
queryParams: queryParams_,
);
return Operation.fromJson(response_ as core.Map<core.String, core.dynamic>);
}